551 to 575 of 766 Machine Learning Engineer Jobs

over 50 million kilograms of produce from going to waste, but we’re not stopping there. As we expand our tech-driven approach, we’re looking for a talented Machine Learning Engineer to join our innovative team. About the Role As a Machine Learning Engineer, you will rapidly design, build, and deploy machine learning forecasting and recommendation models that directly reduce waste and optimise supply chain efficiency through accurate prediction of customer behavior and preferences. You'll work closely with cross-functional teams to implement data-driven solutions that enhance customer experience and optimise our supply chain processes. This is a unique opportunity to contribute to a mission-driven company on … a fixed-term basis, with the potential for future opportunities. Key Responsibilities ️ Develop cutting-edge machine learning models to enhance operational efficiency and improve the customer experience. ️ Collaborate with data & software engineers, and product managers to integrate ML solutions into our tech stack. ️ Analyse large datasets to extract meaningful insights and predictive analytics. ️ Continuously evaluate and improve model More ❯

Machine Learning Engineer Hybrid - Amsterdam (Must be EU citizen) Up to €75,000 per annum AgriTech Forecasting ML in Production Data Intelligence for Global Food Supply Chains We're working exclusively with a well-backed AgTech startup building a next-generation data intelligence platform to transform food markets. Their goal? To eliminate opacity in agricultural pricing and … give traders, processors and growers the tools to make smarter, data-led decisions - from field to supply chain. They're now hiring a Machine Learning Engineer to drive the forecasting engine at the heart of this platform - where models meet real-world market volatility. Why join? ️ Mission-led - Help stabilise food pricing and promote fairer agricultural supply … chains ️ Greenfield product - Build predictive systems from scratch: time series, demand signals, anomaly detection ️ Core tech role - Own the design, deployment and evolution of machine learning in production ️ Early-stage upside - Work directly with the founders and have real autonomy on an industry-defining product What you'll be doing Build and deploy forecasting models to predict agricultural More ❯

with your recruiter to learn more. Base pay range Direct message the job poster from In Technology Group Head of Data, BI, and AI @ In Technology Group. Job Title: Machine Learning Engineer – Point Cloud & AI Solutions Location: Birmingham - Remote (occasional travel) Salary: £50,000 - £90,000 DOE (Very flexible) About Us We are a multidisciplinary UK design … scalable portfolio modelling. Our mission is to continuously enhance laser scanning and Scan2BIM workflows using smart, efficient, and AI-driven technologies. Role Overview We are seeking a highly skilled Machine Learning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join our innovation … team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build AI tools to automate BIM modelling tasks, such More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various … industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into … production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various … industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into … production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity More ❯

function Information Technology Industries Software Development Referrals increase your chances of interviewing at SR2 | Socially Responsible Recruitment | Certified B Corporation by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London, England, United … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago London, England, United Kingdom 4 days ago City Of London, England, United Kingdom … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 months ago London, England, United Kingdom 5 months ago London, England, United Kingdom 3 weeks ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 month ago London More ❯

Role: Machine Learning Engineer Rate: £550/day - Outside IR35 Location: Cheltenham Duration: Initial 6-12 months Clearance Required: eDV A leading client within the UK defence sector is currently seeking several experienced Machine Learning Engineers to join their advanced AI and data science division. This role offers the chance to contribute directly to the … UK's national defence capability while working at the cutting edge of applied AI. The successful candidate will be joining a multidisciplinary team focused on developing and deploying machine learning models across a variety of complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing … models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Essential Skills & Experience: Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability More ❯

Salary: .000 € per year Requirements: Several years of proven experience in MLOps, including end-to-end machine learning lifecycle management Strong programming skills in Python and C++ Familiarity with MLOps tools like MLFlow, Airflow, or Kubeflow. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g. … Vision (CV), workflows and metrics Hands-on experience in model validation, testing, and deployment to production Strong verbal and written communication skills in English Responsibilities: As a (Senior) MLOps Engineer, you will play a crucial role in building and maintaining the infrastructure and processes required to support machine learning operations. You will be responsible for preparing datasets … evaluating machine learning models using key performance indicators (KPIs), validating and deploying models, and ensuring their seamless integration into production systems (embedded and Cloud). Additionally, you will design and implement CI/CD pipelines for machine learning, automate ML operations, and utilize cloud-based solutions, such as AWS with Terraform, to enhance scalability and efficiency. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

Data Science - Machine Learning/Full Time/Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI …/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while … delivering an essential service to society. What You'll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency for various insurance use cases. Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to meet business needs while ensuring adaptability and innovation. More ❯

EU Location: gloucester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Role: Machine Learning Engineer Clearance Required: eDV One of our key clients within the UK defence sector is seeking several Machine Learning Engineers to support the expansion … of their applied AI and data science capability. Working on mission-critical systems where performance, reliability, and interpretability are essential. You will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational … of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability More ❯

Knowledge Transfer Partnership (KTP) Associate in Machine Learning and AI This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are seeking to recruit an individual with a strong background in Machine Learning and … AI. The successful candidate will work alongside an MLOps Software Engineer (KTP Associate) to deliver a 24-month project focused on designing and implementing innovative solutions that embed advanced Machine Learning, AI, and software engineering techniques within the procurement process. The project aims to support a data-driven, AI-enhanced business model and information management framework, aligning … with the company's digital transformation strategy. The role offers a unique opportunity to collaborate within a multidisciplinary team of academics and industry practitioners, translating Machine Learning, AI, and Software Engineering techniques into a robust Software/AI-enabled solution. Candidates should possess a PhD or a strong Master's degree with relevant experience in Machine Learning More ❯

EU Location: gloucestershire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 6 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Role: Machine Learning Engineer Clearance Required: eDV One of our key clients within the UK defence sector is seeking several Machine Learning Engineers to support the expansion … of their applied AI and data science capability. Working on mission-critical systems where performance, reliability, and interpretability are essential. You will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational … of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability More ❯

Insight Global is seeking a Machine Learning Engineer to support a startup, sports IT Comapny! This opportunity is based out of Charlotte, NC, and will be on site 5x a week with a very flexible schedule. Additionally, this opportunity offers quick interviews, competitive rates (ranging from $90K-$185K based off of years of experience) and there is … technical specifications Understanding of data structures and algorithmic complexity Excellent problem-solving and analytical thinking Strong communication skills for cross-functional collaboration Job Description We're seeking an ML Engineer to develop and implement natural language processing systems that convert user-friendly constraint descriptions into structured data for our sports scheduling optimization engine. You'll bridge the gap between More ❯

Social network you want to login/join with: Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the … optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Working with 3D geometry, meshes, and tools like Blender Supporting automation efforts to streamline creative production pipelines … What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A portfolio of personal or open-source projects (GitHub is a More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We are hiring … a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case. … papers and develop ideas on how they could be applied to video security use cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest More ❯